Aprendizaje automático para el procesamiento de señales e imágenes médicas

Ingeniería Biomédica

Ph.D. Pablo Eduardo Caicedo Rodríguez

2024-08-12

Aprendizaje automático para el procesamiento de señales e imágenes médicas1

Introduction

Definitions

Machine Learning: is defined as an automated process that extracts patterns from data.

Important “free” sources of data

Introduction

How machine learning works?

Machine learning algorithms work by searching through a set of possible prediction models for the model that best captures the relationship between the descriptive features and target feature in a dataset.

   Pregnancies  Glucose  BloodPressure  ...  DiabetesPedigreeFunction  Age  Outcome
0            6      148             72  ...                     0.627   50        1
1            1       85             66  ...                     0.351   31        0
2            8      183             64  ...                     0.672   32        1
3            1       89             66  ...                     0.167   21        0
4            0      137             40  ...                     2.288   33        1

[5 rows x 9 columns]

Introduction

What can be wrong???

  • When we are dealing with large datasets, it is likely that there is noise.
  • When we are dealing with large datasets, it is likely that there is missing data.
  • When we are dealing with large datasets, it is likely that there is data leakage.

Ill-posed problem

Ill-posed problem, that is, a problem for which a unique solution cannot be determined using only the information that is available

Introduction

Introduction

https://pablocaicedor.github.io/